A method of calibrating a driving parameter of an optical component across an operating wavelength range of the component. The method comprises placing a layer of material in a light path, the layer of material being substantially planar and substantially transparent and having a thickness of the order of wavelengths in said range and operating said component to vary said driving parameter whilst detecting light transmitted through said layer of material to obtain driving parameter versus light intensity data. The obtained data is then compared with characterizing data previously derived for said layer of material in order to calibrate said driving parameter.

Disclosed is a radiation arrangement for a multispectral active remote sensing device. The arrangement includes a transceiver, a detector, and a wavelength-adjustable narrow band stopper.

Disclosed is a radiation arrangement for a multispectral active remote sensing device. The arrangement includes a transceiver, a detector, and a wavelength-adjustable narrow band stopper.

The present invention enables highly accurate analysis when visualizing analysis results in spectral imaging.

An surface analysis method includes: acquiring spectral image data regarding a sample surface with use of a spectral camera; extracting n wavelengths dispersed in a specific wavelength range in the acquired spectral image data, and converting spectrums of the wavelengths in the spectral image data into n-dimensional spatial vectors for each pixel; normalizing the spatial vectors of the pixels; clustering the normalized spatial vectors into a specific number of classifications; and identifying and displaying pixels clustered into the classifications, for each of the classifications.

The present invention enables highly accurate analysis when visualizing analysis results in spectral imaging.

An surface analysis method includes: acquiring spectral image data regarding a sample surface with use of a spectral camera; extracting n wavelengths dispersed in a specific wavelength range in the acquired spectral image data, and converting spectrums of the wavelengths in the spectral image data into n-dimensional spatial vectors for each pixel; normalizing the spatial vectors of the pixels; clustering the normalized spatial vectors into a specific number of classifications; and identifying and displaying pixels clustered into the classifications, for each of the classifications.

A light detection device including a substrate, a first light detector, a second light detector, and a switch element is provided. The first light detector is disposed on the substrate and includes a first active layer. The second light detector is disposed between the substrate and the first light detector and includes a second active layer. The switch element is disposed on the substrate. A horizontal projection of the second active layer on the substrate completely falls within a horizontal projection of the first active layer on the substrate. A negative electrode of the first light detector and a negative electrode of the second light detector are electrically connected to the switch element via a first metal layer.

A light detection device including a substrate, a first light detector, a second light detector, and a switch element is provided. The first light detector is disposed on the substrate and includes a first active layer. The second light detector is disposed between the substrate and the first light detector and includes a second active layer. The switch element is disposed on the substrate. A horizontal projection of the second active layer on the substrate completely falls within a horizontal projection of the first active layer on the substrate. A negative electrode of the first light detector and a negative electrode of the second light detector are electrically connected to the switch element via a first metal layer.

The present invention relates to the technical field of identification on adulterated meat, and in particular, to a method for identifying raw meat and high-quality fake meat based on a gradual linear array change of a component. The present invention spatially characterizes changing rules of featured components in the meat with the utilization of sensitivities of the visible/near-infrared spectral signals to changes of the components in the meat and the advantage that spectral scanning can acquire optical signals of the samples spatially and consecutively, further constructs the identification model according to differences in components and spectra of a region of interest in the hyperspectral image by taking a derivative for characterizing rates of change of the featured components.

An image sensor capable of recording both spectral and polarization properties of light using a single chip device includes an at least 2048 by 2048 array of superpixels. Each superpixel includes an array of spectral pixels, and an adjacent array of polarization pixels. Each spectral pixel includes a spectral filter and a stack of photodiodes, where each photodiode has a different quantum efficiency and is, therefore, sensitive to a different wavelength of light passed by the spectral filter. Each polarization pixel includes a polarization filter and a stack of photodiodes, similar to the spectral pixel photodiode stacks.

A pattern recognition system including an image gathering unit that gathers at least one digital representation of a field, an image analysis unit that pre-processes the at least one digital representation of a field, an annotation unit that provides a visualization of at least one channel for each of the at least one digital representation of the field, where the image analysis unit generates a plurality of image samples from each of the at least one digital representation of the field, and the image analysis unit splits each of the image samples into a plurality of categories.